ADMiS 2018 - First International Workshop on Adapting Data Mining for
Security-2018
(co-located with IEEE ICDM'18),
Singapore.
Workshop date: November 20, 2018.
Submissions are due: August 7, 2018
https://sites.google.com/site/admisworkshop/home
co-located with IEEE International Conference on Data Mining (ICDM) 2018
Description
A half-day workshop on Adapting Data Mining for Security (ADMiS) to be
held in Singapore in conjunction with the IEEE International
Conference on Data Mining 2018. This workshop will address the
research and educational efforts in which analytical techniques from
data mining and machine learning, are applied to solve security and
privacy challenges, and the security and privacy considerations
involved in applying them to those challenges.
Increasingly, sophisticated techniques from data mining, and machine
learning are being applied to challenges in security and privacy
fields. However, experts from these areas have no high-visibility
medium at a premier Data Mining conference such as ICDM, where they
can meet and exchange ideas so that strong collaborations can emerge,
and cross-fertilization of these areas can occur. Moreover, current
courses and curricula in security do not sufficiently emphasize
background in these areas and students in security are not emerging
with deep knowledge of these topics. Hence, we propose a workshop that
will address the research and development efforts in which analytical
techniques from machine learning, data mining, are applied to solve
security challenges. Submissions of papers related to methodology,
design, techniques and new directions for security that make
significant use of data mining and machine learning are
welcome. Furthermore, submissions on educational topics and systems in
the intersection of security and data mining are also highly
encouraged.
The workshop will focus on, but not limited to, the following areas:
Data Mining techniques for security
Machine learning for security
Applications of AI to security
Inference Control
Privacy-preserving data mining
Security of machine learning
Security of data mining
Case studies
Educational topics and courses.
Plan
The half-day workshop is planned for November, 2018, with a keynote
session, a technical session, a session /panel discussion on security
education, future directions. The keynote speech will be delivered by
a well-known researcher in the intersection of data mining and
security.
Important Dates
Paper submission deadline: August 7, 2018
Author notification: September 4, 2018
Camera Ready deadline: September 15, 2018
Submission
All submissions must describe original research, not published nor
currently under review for another workshop, conference, or
journal. All papers must be submitted electronically via the ICDM
system: https://www.google.com/url?q=https%3A%2F%2Fwi-lab.com%2Fcyberchair%2F2018%2Ficdm18%2Fscripts%2Fsubmit.php%3Fsubarea%3DS12%26undisplay_detail%3D1%26wh%3D%2Fcyberchair%2F2018%2Ficdm18%2Fscripts%2Fws_submit.php&sa=D&sntz=1&usg=AFQjCNGI0rtiAF2G-wU0wUbOuEgSpLsq9g
Papers must be no longer than 8 pages and in font size no smaller than
10 points. Detailed layout guidelines except the page length are the
same as recommended in http://icdm2018.org.
Submission implies the willingness of at least one author to attend
the workshop and present the paper. Accepted papers will be included
in the IEEE Xplore. The presenter must register for the workshop
before the deadline for author registration. The accepted papers will
be compiled in the workshop proceedings as either a regular paper
within 8 pages or a poster paper within 2 pages. A limited number of
high quality submissions may be selected for publication in a special
issue of a journal.
Technical Program Committee (TPC):
Ping Chen, University of Massachusetts-Boston
https%3A%2F%2Fwww.cs.umb.edu/~pchen
David Marchette, Naval Surface Warfare Center
Andrew Sung, University of Southern Mississippi, TPC Co-chair
Rakesh Verma, University of Houston, TPC Co-chair
Roland Yap, National University of Singapore
More to be added.